Software Alternatives, Accelerators & Startups

Hasura VS Easy ML for Java

Compare Hasura VS Easy ML for Java and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Hasura logo Hasura

Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Hasura Landing page
    Landing page //
    2023-10-21
Not present

Hasura features and specs

  • Real-Time Data
    Hasura provides built-in support for GraphQL subscriptions, allowing you to easily implement real-time data updates in your applications.
  • Auto-Generated APIs
    With Hasura, you can instantly generate a fully-functional, scalable GraphQL API from your existing databases without writing any code.
  • Authorization and Authentication
    Hasura provides granular authorization controls and integrates well with various authentication services, helping to secure your data access.
  • Microservices & Event Triggers
    Hasura allows you to create event-driven architectures by allowing you to trigger webhooks based on specified database events.
  • Scalability
    Designed for performance, Hasura can handle large-scale applications by optimizing database queries and offering load-balancing capabilities.
  • Multi-Data Source Support
    Hasura can connect to multiple data sources and databases, making it a versatile choice for complex architectures.
  • Developer Productivity
    The tool significantly reduces the time required for backend development, allowing developers to focus on building frontend features and improving user experience.
  • Community and Support
    Hasura has a growing community and offers comprehensive documentation, which can be invaluable for troubleshooting and getting the most out of the platform.

Possible disadvantages of Hasura

  • Complex Initial Setup
    Although Hasura simplifies many tasks, setting it up initially can be complex and may require a good understanding of both GraphQL and your underlying database.
  • Vendor Lock-In Concerns
    Depending heavily on Hasura can create vendor lock-in situations, making it difficult to switch technologies later without significant redevelopment effort.
  • Learning Curve
    Developers unfamiliar with GraphQL, event-driven architectures, or advanced database concepts may face a steep learning curve when adopting Hasura.
  • Limited Customization
    Some advanced use cases may require lower-level customizations not easily achievable through Hasura’s auto-generated APIs.
  • Performance Overhead
    Although optimized for performance, the additional layer Hasura introduces can still introduce latency, especially in highly complex queries.
  • Debugging Complexity
    Diagnosing issues can sometimes be complicated due to the number of components involved, including the database, Hasura, and the generated APIs.
  • Cost
    While Hasura offers a free tier, advanced features and enterprise-level support come at a cost, which can add up as your project scales.

Easy ML for Java features and specs

No features have been listed yet.

Analysis of Easy ML for Java

Overall verdict

  • Easy ML for Java appears to be a lightweight, approachable library aimed at bringing machine learning capabilities to Java developers without requiring deep ML expertise or switching to Python-centric ecosystems. It seems suitable for developers who want to integrate basic ML functionality into existing Java applications with minimal overhead, though it likely lacks the depth, community support, and cutting-edge features of major frameworks like TensorFlow, PyTorch, or scikit-learn.

Why this product is good

  • Native Java implementation avoids the need for language interop or JNI bridges to Python-based ML libraries
  • Simpler API design makes it more accessible for Java developers without extensive ML background
  • Documentation via GitBook suggests an organized, readable learning path for newcomers
  • Lightweight footprint can be beneficial for integrating into existing Java-based systems without heavy dependencies
  • Good fit for educational purposes or prototyping simple ML concepts within a Java codebase

Recommended for

  • Java developers who want to experiment with ML without learning Python
  • Small to medium projects requiring basic classification, regression, or clustering functionality
  • Students or educators teaching foundational ML concepts using Java
  • Teams with existing Java infrastructure who need lightweight ML integration without major architectural changes
  • Prototyping and proof-of-concept work rather than production-grade, large-scale ML systems

Hasura videos

Scott Tries Hasura - A Realtime GraphQL API Builder

More videos:

  • Review - Evaluating Hasura
  • Review - The founder of Hasura teaching me about Hasura - FUN!

Easy ML for Java videos

No Easy ML for Java videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Hasura and Easy ML for Java)
GraphQL
100 100%
0% 0
Artifical Intelligence
0 0%
100% 100
Developer Tools
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hasura seems to be more popular. It has been mentiond 123 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hasura mentions (123)

  • Boring on Purpose: Bold Moves in Internal Tooling
    A few years back, I decided to replace our spreadsheet-based host and service registries with a proper, Web-based asset registry. It took us a few days to hack together a simple system that we could use to track our infrastructure elements. It was not a big project -- just a simple app backed by a database, Hasura, and a React frontend. Since we were already using OpenID for authentication, it was easy for our... - Source: dev.to / over 1 year ago
  • Supabase Alternatives 🔄 in 2025 😼
    Hasura is a neck-to-neck competitor to Supabase as a BaaS, but with a crucial difference: its GraphQL-first approach. Unlike Supabase, Hasura doesn't bundle database services, allowing it to work with virtually any database including Supabase's own Postgres, Neon, and others. - Source: dev.to / over 1 year ago
  • Automatically Generate REST and GraphQL APIs From Your Database
    Hasura and PostGraphile lead the PostgreSQL GraphQL landscape. Hasura provides real-time subscriptions and a powerful permissions system, while PostGraphile offers deep PostgreSQL integration and excellent performance for complex queries. - Source: dev.to / over 1 year ago
  • The Myth of GraphQL
    Here is an example data schema we get for a query using Hasura and GraphQL-Codegen. - Source: dev.to / almost 2 years ago
  • Hasura CLI on NixOS: A Working Solution
    Hasura is a great tool. I was worried about a few things such as huge RAM consumption, excessive focus on new features and functions despite many outstanding issues, long time rewrite of the server in Rust, etc... - Source: dev.to / about 2 years ago
View more

Easy ML for Java mentions (0)

We have not tracked any mentions of Easy ML for Java yet. Tracking of Easy ML for Java recommendations started around Jan 2023.

What are some alternatives?

When comparing Hasura and Easy ML for Java, you can also consider the following products

Supabase - An open source Firebase alternative

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

Apollo - Apollo is a full project management and contact tracking application.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.